Computer Science jobs in Canada
Data Science Instructor — CS Faculty, Big Data & ML
University of New Brunswick
Data Engineer II - Temporary
Electronic Arts
Senior Android Engineer II, Growth
Life360
Oliver Wyman - Data & Analytics - Analyst - Toronto
National African-American Insurance Association (NAAIA)
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Verily
Student, Data Management and Governance - Hybrid
Alberta Energy Regulator (AER)
Technical Support Engineer
Interfaceware, Inc.
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World Renew
Senior Salesforce Developer
Diagram
Web Frontend Engineer - JS, CSS, React, Flutter
Canonical
Senior Systems Engineer (Remote)
Tetra Tech
Data & AI Transformation Leader
Kyndryl
System Engineering Analyst, Canadian Air
General Dynamics Missions System International
Analyst, Global Investment Banking (Global Diversified Industries and Mining)
Canadian Imperial Bank of Commerce
Manager, Technology Strategy & Innovation (Capital Markets)
OMERS
Senior Compliance & Laboratory Systems Specialist
Catalent
Data & AI Transformation Leader
Kyndryl
Solutions Delivery Specialist
Scotiabank
software developer
Carmanah Signs, a Division of STRATACACHE
Data Science Instructor — CS Faculty, Big Data & ML
Data science enables one to bring structure to large quantities of data and make analysis possible. The purpose of the course is to introduce students to the fundamentals of data science and prepare them in dealing with the challenges of Big Data analytics. It covers basic and advanced Python programming and Python libraries for data analysis. It presents data visualization techniques and statistical methods, as well as data exploration techniques such as data cleaning and munging, manipulating data, rescaling and dimensionality reduction. It includes an introduction to machine learning and presents special data analysis topics. Also, it introduces data analysis approaches with relational databases and Big Data frameworks. NOTE: Credit cannot be obtained for both CS 2545 and STAT 1001.
- Take CS*1073 or CS*1003
- Ph.D. or Master degree in Computer Science.
- Demonstrated knowledge of the subject matter and relevant experience with teaching or professional presentations.
- Professional IT-related experience is a strong plus and teaching experience (DUT certificate is an asset).
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.